JunchaoHuang (huangjunc)

huangjunc

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Location:beijing

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JunchaoHuang's repositories

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chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

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efficientteacher

A Supervised and Semi-Supervised Object Detection Library for YOLO Series

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carrot

这儿收集了一些免费好用的ChatGPT镜像站 当前:57个站点

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objectdetection_script

一些关于目标检测的脚本的改进思路代码,详细请看readme.md

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-AI-11-

百度网盘AI大赛——表格检测进阶:表格的结构化第11名方案

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

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YOLOv6_pro

Make it easier for yolov6 to change the network structure

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PyTorch-Networks

Pytorch implementation of cnn network

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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yoloair

🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

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yolov3-pytorch-Ultralytics

Yolov3: 使用pytorch进行深度学习实现目标定位与目标检测 - 【图片】 - 【视频】 - 【摄像头实时】 by TX-Leo 2022.12.25

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-

记录学习过程

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YOLOU

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6-v1、YOLOv6-v2、YOLOv7、YOLOX、YOLOX-Lite、PP-YOLOE、PP-PicoDet-Plus、YOLO-Fastest v2、FastestDet、YOLOv5-SPD、TensorRT、NCNN、Tengine、OpenVINO

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YOLOC

🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLOv6、YOLOv7、YOLOX、YOLOR、PPYOLO、PPYOLOE

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Spiking-Neural-Network

Pure python implementation of SNN

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sim2real

development for sim 2 real

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Pockmark_Detection

Pockmark detection with deep learning

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Signature-Verification_System_using_YOLOv5-and-CycleGAN

An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch

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multiyolov5

joint detection and semantic segmentation, based on ultralytics/yolov5,

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unbox_yolov5_deepsort_counting

yolov5 deepsort 行人 车辆 跟踪 检测 计数

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Easiest-SRGAN-demo

最简单的基于SRGAN网络的实现, 附带已训练好的模型及GIF生成代码, 更适合作为Demo展示

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